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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience within fraud-adjacent domains.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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About our organization:Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers.
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Senior Manager, Data Scientist - Consumer Identity Machine Learning. Consumer Identity ML is the data science and machine learning team inside Capital Ones AI foundation organization.
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What You'll DoProcess, cleanse, and verify the integrity of data used for downstream analytics productsApply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)Participate in strategic planning and be responsible for the team roadmap and its execution.
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Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets. As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs.
$173,000 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The ideal candidate will possess a strong background in data analysis, statistical modeling, and machine learning. Expertise in machine learning, predictive modeling, and statistical analysis.
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The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings.
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Requires one (1) year of experience in each of the following: analyzing large data sets from multiple data sources for health care industry; Python; machine learning, statistical analysis, predictive modeling; SQL programming languages; “big data” platforms including Hadoop (Azure, GCP, or AWS); designing data models and solutions for analytical and reporting use cases.
$108,306 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Build machine learning and NLP models through all phases of development, from design through training, evaluation, validation, and implementation. At least 2 years' experience with machine learning with a focus on natural language processing.
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You will have the opportunity, based on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.
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Strong knowledge of SQL, Python, data-structured languages, and big data. Hands-on experience building statistical, machine learning, and deep learning models.
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms.
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You have 1 to 4+ years of experience in data mining, analytics, machine learning, and statistical programming. You have experience with big data technologies and platforms, specifically Databricks.
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big data machine learning jobs Title: scientist in New York, NY
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